Abstract
The pharmaceutical industry is under immense pressure to accelerate drug development, reduce costs, and improve the success rate of clinical trials, which remain notoriously slow, expensive, and prone to failure. Artificial intelligence (AI) offers a transformative opportunity to address these long-standing challenges. This paper provides a comprehensive overview of the key opportunities and challenges asso ciated with implementing AI throughout the clinical trial lifecycle. We highlight how AI can optimize trial design, streamline patient recruitment and retention, enhance real-time safety monitoring, and accelerate data analysis from various sources, including electronic health records and wearable devices. These ap plications promise to make trials more efficient, personalized, and patient-centric. We discuss the need for robust governance and validation processes to ensure patient safety and build trust among all stake holders. Ultimately, while AI holds immense potential to revolutionize clinical research, its successful im plementation requires a concerted effort to address these challenges through collaboration, transparency, and the development of responsible AI practices..
To Read or Download the Article PDF